Multilingual Coarse Political Stance Classification of Media: Distribution of Topics per Newspaper

Written by @mediabias | Published on 2024/5/19

TL;DR —

In this paper, researchers analyze AI-generated news articles' neutrality and stance evolution across languages using authentic news outlet ratings.

This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license.

Authors:

(1) Cristina España-Bonet, DFKI GmbH, Saarland Informatics Campus.

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C. Distribution of Topics per Newspaper

Table 7: Number of articles per newspaper (row) and topic (column) for the German subset of OSCAR. See Table 5 for the definition of the topics. Topics boldfaced and in blue are used for training the classifier after balancing L vs R.

Table 8: Number of articles per newspaper (row) and topic (column) for the English subset of OSCAR. See Table 4 for the definition of the topics. Topics boldfaced and in blue are used for training the classifier after balancing L vs R.

Table 9: Number of articles per newspaper (row) and topic (column) for the Spanish subset of OSCAR. See Table 6 for the definition of the topics. Topics boldfaced and in blue are used for training the classifier after balancing L vs R.

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